Part 5/14:
How Does Tesla Teach Its Vehicles?
Tesla’s unique data collection strategy involves harvesting video footage from its fleet of over four million vehicles on the road—each equipped with eight cameras providing comprehensive, real-time perspectives. This footage, reflecting actual driving environments, is used to train neural networks, effectively giving Tesla vehicles real-world experience.
The car’s neural nets analyze hours of video, learning to recognize objects, interpret scenes, and make driving decisions without explicit instructions coded for each situation. Musk described this process as enabling the vehicle to see and understand the world from the same perspective it has when driving—creating a truly autonomous, experience-based learning system.